Literature DB >> 21212679

Vocal acoustic characteristics of patients with Parkinson's disease.

Yasuhiro Tanaka1, Masaki Nishio, Seiji Niimi.   

Abstract

Speech samples obtained from 39 idiopathic Parkinson's disease (PD) patients with vocal pathologies were compared with those from 62 age-matched vocally normal non-PD controls. Voice samples collected from sustained vowel phonation and passage reading were acoustically analyzed using Computer Speech Lab and Multi-Dimensional Voice Program software. Noise-to-harmonic ratio, voice turbulence index (VTI) and soft phonation index (SPI) were incorporated as noise-related measurements, fundamental frequency-tremor intensity index (FTRI), amplitude tremor intensity, fundamental frequency-tremor frequency (Fftr), and amplitude-tremor frequency as tremor-related measurements. Compared with controls, the following results were noted: (1) male and female PD patients exhibited significant differences in acoustic parameters of all frequency and amplitude perturbation measurements and noise-related measurements (except VTI in males); (2) speaking fundamental frequency was significantly higher only in male PD patients; (3) FTRI and Fftr in male (only FTRI in female) PD patients were significantly higher, and (4) disease severity and MDVP analysis showed significant correlations between SPI and the Unified Parkinson's Disease Rating Scale Part I (mentation, behavior, mood) and Part II (activities of daily living) in male PD patients; however, this was not the case in female PD patients.
Copyright © 2011 S. Karger AG, Basel.

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Mesh:

Year:  2011        PMID: 21212679     DOI: 10.1159/000322059

Source DB:  PubMed          Journal:  Folia Phoniatr Logop        ISSN: 1021-7762            Impact factor:   0.849


  8 in total

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Authors:  Young-Jae Park; Young-Bae Park
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2.  Voice features of Parkinson's disease patients with subthalamic nucleus deep brain stimulation.

Authors:  Yasuhiro Tanaka; Takashi Tsuboi; Hirohisa Watanabe; Yasukazu Kajita; Yasushi Fujimoto; Reiko Ohdake; Noritaka Yoneyama; Michihito Masuda; Kazuhiro Hara; Joe Senda; Mizuki Ito; Naoki Atsuta; Satoshi Horiguchi; Masahiko Yamamoto; Toshihiko Wakabayashi; Gen Sobue
Journal:  J Neurol       Date:  2015-02-26       Impact factor: 4.849

3.  Quantification of rhythm problems in disordered speech: a re-evaluation.

Authors:  Anja Lowit
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2014-12-19       Impact factor: 6.237

4.  Enlarging the spectrum of cluster headache: Extracranial autonomic involvement revealed by voice analysis.

Authors:  Marcello Silvestro; Francesca M Dovetto; Virginia Corvino; Pasqualina Apisa; Rita Malesci; Alessandro Tessitore; Paolo Milizia; Gioacchino Tedeschi; Elio Marciano; Antonio Russo
Journal:  Headache       Date:  2021-10-07       Impact factor: 5.311

5.  Voice in Parkinson's Disease: A Machine Learning Study.

Authors:  Antonio Suppa; Giovanni Costantini; Francesco Asci; Pietro Di Leo; Mohammad Sami Al-Wardat; Giulia Di Lazzaro; Simona Scalise; Antonio Pisani; Giovanni Saggio
Journal:  Front Neurol       Date:  2022-02-15       Impact factor: 4.003

6.  Motor Signatures in Digitized Cognitive and Memory Tests Enhances Characterization of Parkinson's Disease.

Authors:  Jihye Ryu; Elizabeth B Torres
Journal:  Sensors (Basel)       Date:  2022-06-11       Impact factor: 3.847

7.  Towards the identification of Idiopathic Parkinson's Disease from the speech. New articulatory kinetic biomarkers.

Authors:  J I Godino-Llorente; S Shattuck-Hufnagel; J Y Choi; L Moro-Velázquez; J A Gómez-García
Journal:  PLoS One       Date:  2017-12-14       Impact factor: 3.240

8.  Rhythmic performance in hypokinetic dysarthria: Relationship between reading, spontaneous speech and diadochokinetic tasks.

Authors:  Anja Lowit; Agata Marchetti; Stephen Corson; Anja Kuschmann
Journal:  J Commun Disord       Date:  2018-02-15       Impact factor: 2.288

  8 in total

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